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Collaborative Research: Computational Intelligence Methods For Dynamic Stochastic Optimization Of Smart Grid Operation With High Penetration Of Renewable Energy

Collaborative Research: Computational Intelligence Methods For Dynamic Stochastic Optimization Of Smart Grid Operation With High Penetration Of Renewable Energy
合作研究:可再生能源高渗透智能电网运行动态随机优化的计算智能方法
批准号:
1232031
负责人:
Ronald Harley
金额:
$18.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2012
资助国家:
美国
项目状态:
已结题
起止时间:
2012-09-01 至 2016-08-31

项目摘要

项目成果

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中文摘要
翻译
本研究的目标是开发先进的计算智能方法来监测、优化和控制大型或所谓的广域电网,包括太阳能发电场(sf)和风力发电场(WFs),以及可控网络变压器(CNTs),以确保在缓慢变化的半稳态条件下以及在瞬态条件下对所有这些资源的最佳利用。该研究将在离线模拟中进行,然后在实时模拟器上实施。智能优势可再生能源的行为具有不确定性和可变性,静态优化方法难以优化智能电网中不确定的非平稳分布式能源,使其达到最大利用率。为开发实时动态随机优化智能电网引擎,提出了一种新的ACD控制器。先进的智能方法,如生物启发的人工神经网络和智能设备(CNTs),为实现最佳潮流提供了更好的识别和控制能力。更广泛的影响能够适应可再生能源高渗透率的经济运行、可靠和安全的电力系统符合国家利益。能够通过未充分利用的线路输送电力,由于避免了对新线路的需要,将具有重大的经济和环境效益。这个项目将有几个传播渠道,包括软件、网站、为现有课程添加的新内容、会议上的特别会议和教程以及期刊出版物。
英文摘要
The objective of this research is to develop advanced computational intelligence methods to monitor, optimize and control large or so-called wide areas of a power network that will include solar farms (SFs) and wind farms (WFs), and controllable network transformers (CNTs), in order to ensure optimum usage of all these resources both during slow changing semi-steady state conditions, as well as during transient conditions. The research will be carried out in off-line simulations and then implemented on a real-time simulator.Intellectual meritThe behavior of renewable energy sources is uncertain and variable, and it is difficult for static optimization methods to optimize uncertain non-stationary distributed energy resources in a smart grid for maximum utilization. A novel ACD controller is proposed for the development of a real- time dynamic stochastic optimization smart grid engine. Advanced intelligent methods such as the biologically inspired artificial neural network and smart devices (CNTs) provide better identification and control capabilities for implementation of optimal power flows.Broader ImpactsEconomically operated reliable and secure power systems that can accommodate high penetration of renewable energy are of national interest. Being able to route power through underutilized lines will have major economic and environmental benefits due to avoiding the need for new lines. This project will have several dissemination channels, including software, websites, new contents added to existing courses, special sessions and tutorials at conferences, and journal publications.
期刊论文(0)
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会议论文
Collaborative Research: Planning Grant: I/UCRC for Real-Time Intelligence for Smart Electric Grid Operations (RISE)
  • 批准号:
    1464603
  • 项目类别:
    Standard Grant
  • 资助金额:
    $1.15万
  • 财政年份:
    2015
  • 负责人:
    Ronald Harley
  • 依托单位:
Student Support for IEMDC 2013 Conference Participation. To be Held May 12-15,2013 in Chicago, IL.
  • 批准号:
    1338551
  • 项目类别:
    Standard Grant
  • 资助金额:
    $0.9万
  • 财政年份:
    2013
  • 负责人:
    Ronald Harley
  • 依托单位:
Sequence component models to calculate fault current contributions from wind generators
  • 批准号:
    1028546
  • 项目类别:
    Standard Grant
  • 资助金额:
    $15.32万
  • 财政年份:
    2010
  • 负责人:
    Ronald Harley
  • 依托单位:
GOALI: Neural Networks and Adaptive Critic Designs For Energy Security and Sustainability
  • 批准号:
    0802047
  • 项目类别:
    Standard Grant
  • 资助金额:
    $39.88万
  • 财政年份:
    2008
  • 负责人:
    Ronald Harley
  • 依托单位:
国内基金
海外基金
Research on Quantum Field Theory without a Lagrangian Description
  • 批准号:
    24ZR1403900
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    SATOSHI NAWATA
  • 依托单位:
Cell Research
Cell Research
Cell Research (细胞研究)